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Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model

Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study inco...

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Detalles Bibliográficos
Autores principales: Lu, Kaili, Pang, Feng, Shadiev, Rustam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843658/
https://www.ncbi.nlm.nih.gov/pubmed/36688218
http://dx.doi.org/10.1007/s10639-023-11591-1
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author Lu, Kaili
Pang, Feng
Shadiev, Rustam
author_facet Lu, Kaili
Pang, Feng
Shadiev, Rustam
author_sort Lu, Kaili
collection PubMed
description Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation, extrinsic motivation, perception of multiple sources, and cognitive engagement) associated with students’ continuous usage intention of asynchronous online courses into technology acceptance model (TAM) to identify the influencing factors on students’ continuous usage intention. A survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students’ continuous usage intention. The results showed that cognitive engagement was the only factor that directly related to continuous usage intention. Intrinsic motivation, extrinsic motivation, and perception of multiple sources indirectly correlated with students’ continuous usage intention through different pathways. The results of the study have several theoretical and practical implications. Theoretically, the study verified what key learning factors incorporated into TAM and in what way they relate to the continuous usage intention of asynchronous online courses. Practically, the present study indicated that it is required to take intrinsic motivation, extrinsic motivation, perception of multiple sources, cognitive engagement and TAM into consideration when designing and conducting asynchronous online learning courses to ensure college students’ continuous usage intention of asynchronous online courses.
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spelling pubmed-98436582023-01-17 Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model Lu, Kaili Pang, Feng Shadiev, Rustam Educ Inf Technol (Dordr) Article Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation, extrinsic motivation, perception of multiple sources, and cognitive engagement) associated with students’ continuous usage intention of asynchronous online courses into technology acceptance model (TAM) to identify the influencing factors on students’ continuous usage intention. A survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students’ continuous usage intention. The results showed that cognitive engagement was the only factor that directly related to continuous usage intention. Intrinsic motivation, extrinsic motivation, and perception of multiple sources indirectly correlated with students’ continuous usage intention through different pathways. The results of the study have several theoretical and practical implications. Theoretically, the study verified what key learning factors incorporated into TAM and in what way they relate to the continuous usage intention of asynchronous online courses. Practically, the present study indicated that it is required to take intrinsic motivation, extrinsic motivation, perception of multiple sources, cognitive engagement and TAM into consideration when designing and conducting asynchronous online learning courses to ensure college students’ continuous usage intention of asynchronous online courses. Springer US 2023-01-17 /pmc/articles/PMC9843658/ /pubmed/36688218 http://dx.doi.org/10.1007/s10639-023-11591-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Lu, Kaili
Pang, Feng
Shadiev, Rustam
Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
title Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
title_full Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
title_fullStr Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
title_full_unstemmed Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
title_short Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
title_sort understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843658/
https://www.ncbi.nlm.nih.gov/pubmed/36688218
http://dx.doi.org/10.1007/s10639-023-11591-1
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